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MIRROR: Automatic R2RML Mapping Generation from Relational Databases

  • Luciano Frontino de Medeiros
  • Freddy PriyatnaEmail author
  • Oscar Corcho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9114)

Abstract

Two W3C recommendations exist for the transformation of RDB content into RDF: Direct Mapping (DM) and R2RML. The DM recommendation specifies the set of fixed transformation rules, whilst R2RML allows customising them. Here we describe the MIRROR system, which generates two sets of R2RML mappings. First, it creates a set of mappings that allow any R2RML engine to generate a set of RDF triples homomorphic to the ones that a DM engine would generate (they only differentiate in the URIs used). This allows R2RML engines to exhibit a similar behaviour to that of DM engines. Second, it produces an additional set of R2RML mappings that allow generating triples resulting from the implicit knowledge encoded in relational database schemas, such as subclass-of and M-N relationships. We demonstrate the behaviour of MIRROR using the W3C DM Test Case together with an extended version of one of its databases.

Keywords

Relational Database Transformation Rule Direct Mapping Database Schema Parent Table 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Luciano Frontino de Medeiros
    • 1
  • Freddy Priyatna
    • 2
    Email author
  • Oscar Corcho
    • 2
  1. 1.UNINTERCuritibaBrasil
  2. 2.Ontology Engineering GroupUniversidad Politécnica de MadridMadridSpain

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